50/200 SMA crosslong
Resultados de Backtest @ TSLA β€’ 10 Minutes

La estrategia de Cruce de Medias MΓ³viles utiliza dos medias mΓ³viles de diferentes perΓ­odos para generar seΓ±ales de compra y venta. Aproxima la idea de un mercado en tendencia usando 2 SMAs, una SMA corta y rΓ‘pida (50) y otra SMA larga y lenta (200). Compra cuando una SMA corta (50) cruza hacia arriba una SMA larga (200), implicando que la direcciΓ³n del mercado ha cambiado. Vende cuando una SMA corta (50) cruza hacia abajo una SMA larga (200). Estas son medias mΓ³viles bastante largas, lo que significa que esta estrategia estΓ‘ naturalmente destinada a capturar movimientos mΓ‘s grandes, y por lo tanto podrΓ­a no ser adecuada para marcos de tiempo cortos. Β‘Pero suposiciones como esa no significan nada, porque la hemos backtesteado! CompruΓ©balo tΓΊ mismo.

Curva de Equidad

El backtest cubre 12.6 months de datos TSLA β€’ 10 Minutes (Tesla, Inc.), desde June 28, 2024 hasta July 11, 2025.

La curva de equidad es el rendimiento de la estrategia a lo largo del tiempo. Debes compararla con el rendimiento de Compra y MantΓ©n del activo. En general, quieres que el Γ‘rea azul estΓ© bien por encima del Γ‘rea gris.

El drawdown es cuΓ‘ntas pΓ©rdidas (realizadas o no realizadas) ha tenido la estrategia si se compara con el pico mΓ‘s alto de equidad. Compara esto con el drawdown del activo para ver si tu estrategia hace un trabajo decente de aislarte de la volatilidad bajista. En general, el Γ‘rea roja debe estar bien dentro del Γ‘rea gris.

Curva de Equidad
Estrategia
Activo
Drawdown de Estrategia
Drawdown de Activo

Entonces, hemos hecho backtest de 50/200 SMA cross en 12.6 months de velas TSLA β€’ 10 Minutes.Β Este backtest resultΓ³ en 29 posiciones, con una tasa de ganancia promedio de 41% y una relaciΓ³n riesgo-recompensa de 1.90.Β Si asumes que la relaciΓ³n riesgo-recompensa de 1.90 se mantiene, necesitas una tasa de ganancia mΓ­nima de 34.5 para ser rentable. AsΓ­ que vas bien hasta ahora.Β Sin embargo, 29 posiciones es una muestra pequeΓ±a, asΓ­ que toma los resultados con mucha cautela.Β Las mΓ©tricas clave son las siguientes:

  1. Retorno Total: Retorno Total: 18.40% vs 59.00% para el activo
  2. MΓ‘ximo Drawdown: MΓ‘ximo Drawdown: -34.80% vs -55.30% para el activo
  3. ExposiciΓ³n: ExposiciΓ³n: 47.20% tiempo en el mercado
  4. Tasa de Ganancia: Tasa de Ganancia: 41.0%, vs 34.5% mΓ­nimo
  5. RelaciΓ³n Riesgo/Recompensa: RelaciΓ³n Riesgo/Recompensa: 1.90

Con esa exposiciΓ³n en mente, puedes ver que para 47% tiempo-en-mercado, obtienes 31.19% del potencial alcista del activo, y 62.93% del potencial bajista del activo.

50/200 SMA cross: entrar en una posiciΓ³n cuando

All of the following: # "Papa"
  10min Simple Moving Average (50, 0, close) Crosses β†— 10min Simple Moving Average (200, 0, close)

50/200 SMA cross: salir de una posiciΓ³n cuando

All of the following: # "India"
  10min Simple Moving Average (50, 0, close) Crosses β†˜ 10min Simple Moving Average (200, 0, close)

50/200 SMA cross @ TSLA β€’ 10 Minutes (18.4%) explicado por Alex C, Mike, Sarah

Alex C

Autor

The backtest results for this SMA cross strategy on TSLA show some interesting patterns, but I have concerns about its robustness.

First the positives: The strategy shows a decent Risk/Reward ratio of 1.90 and the win rate leeway is quite good - you only need 34.5% win rate to break even, and you're achieving 41%. This gives you some buffer for worse market conditions. Also, the market exposure of 47.2% means you're not constantly in the market, which helps manage risk. But here comes the problematic part: The maximum drawdown of -34.8% is quite high for a trend-following strategy, and the total return of 18.4% significantly underperforms the buy & hold return of 59%.

What really makes me sceptical is the low trade count - only 29 trades over more than 12 months is not enough to make reliable statistical conclusions. With such few trades, individual outliers can heavily skew the results. I would want to see at least 100 trades before making any strong conclusions about the strategy's effectiveness. Also, the volatility metrics suggest this might be too wild of a ride for most traders - a realized volatility of 43.36% is quite high, even if it's better than TSLA's native 72.08%.

Mike

Autor

Yo fam, let me break down this TSLA backtest for you! πŸš€

This 50/200 SMA cross strategy is giving some interesting vibes. We're looking at a decent 18.4% profit over the year, which isn't too shabby, but kinda falls short of that juicy 59% buy & hold return. But here's where it gets interesting - the strategy only keeps us in the market 47.2% of the time, so we're actually taking way less risk than going all-in! πŸ’ŽπŸ™Œ

The risk metrics are actually pretty solid for a TSLA play. That 1.90 risk/reward ratio is sweet, and even though the win rate is only 41%, we're still way above the minimum needed (34.5%). Plus, that max drawdown of -34.8% is better than TSLA's raw -55.3%, so we're definitely managing risk better than hodling! The Sharpe and Sortino ratios aren't mindblowing but they're positive, which means we're not just gambling here.

I gotta say though, 29 trades over a year (about 4-5 per month) feels a bit slow for my Wendy's paycheck YOLO style πŸ˜… But maybe that's not such a bad thing - fewer trades means lower fees and less chance of paper-handing during tough times. Overall, this looks like a decent strategy for someone who wants to play TSLA with less stress than going full degen! 🎒 Just remember, past performance doesn't guarantee future tendies! πŸ—

Sarah

Autor

Por dios, this is one of those typical amateur strategies that make me want to punch somebody in the face. Let me tell you why this is terrible.

First off, you're getting destroyed by the buy & hold strategy - 18.4% vs 59%? That's pathetic! You're basically paying money to underperform the market by a massive margin. And with Tesla of all stocks! The volatility alone should have given you better returns if you were just throwing darts at a board.

The risk metrics are laughable. A -34.8% drawdown with only 29 trades? Madre mΓ­a, that's like jumping out of a plane with a broken parachute. The Sharpe ratio of 0.78 is mediocre at best, telling me this strategy is about as sophisticated as a brick.

The only slightly positive thing I see is the Risk/Reward ratio of 1.90 and the win rate leeway - but honestly, it's like putting lipstick on a pig. With those massive drawdowns and terrible market exposure, you're basically turning good money into confetti. My advice? Either completely rebuild this strategy from scratch or stick to buying index funds. This is embarassing.

MΓ©tricas tabulares de 50/200 SMA cross sometido a backtest en TSLA β€’ 10 Minutes

Total de Operaciones29Beneficio Neto18.4%Beneficio Compra y MantΓ©n59.0%
Tasa de Ganancia41%Ratio Riesgo/Recompensa1.90MΓ‘ximo Drawdown-34.8%
MΓ‘ximo Drawdown del Activo-55.3%ExposiciΓ³n47.2%Promedio de Velas en PosiciΓ³n161.9
Ratio de Sharpe0.78Ratio de Sortino1.03Volatilidad Realizada43.36%
Racha MΓ‘xima de Ganancia4Racha Promedio de Ganancia2.0Racha MΓ‘xima de PΓ©rdida5
Racha Promedio de PΓ©rdida2.8Promedio de Operaciones por Mes4.6Promedio de Operaciones por DΓ­a0.2
Desv. Est. del Retorno8.2Desv. Est. de la PΓ©rdida3.7Desv. Est. de la Ganancia6.9
Expectativa0.2Beta0.36

Todos los backtests para 50/200 SMA cross

common.strategyexposiciΓ³nrendimiento vs activodrawdown vs activotasa de gananciarecompensa/ riesgo
BTCUSDT β€’ 1 Minute
57%(5.4%/8.9%) 0.61x(-2.0%/-1.9%) 1.05x395.4
EURUSD β€’ 1 Minute
61%(-1.1%/-1.0%) 1.10x(-1.2%/-1.2%) 1.00x201.1
GLD β€’ 1 Minute
52%(1.7%/0.0%) Infinityx(-2.5%/-5.5%) 0.45x362.5
NVDA β€’ 1 Minute
61%(1.2%/16.7%) 0.07x(-7.9%/-4.4%) 1.80x282.9
SPY β€’ 1 Minute
60%(0.5%/4.6%) 0.11x(-2.5%/-2.1%) 1.19x332.3
TSLA β€’ 1 Minute
47%(6.6%/-10.3%) -0.64x(-11.2%/-21.4%) 0.52x392.1
WMT β€’ 1 Minute
41%(-0.5%/-5.4%) 0.09x(-3.9%/-6.4%) 0.61x292.4
BTCUSDT β€’ 10 Minutes
57%(18.2%/22.4%) 0.81x(-8.6%/-12.1%) 0.71x413.1
EURUSD β€’ 10 Minutes
55%(2.5%/5.8%) 0.43x(-2.2%/-4.3%) 0.51x382.4
GLD β€’ 10 Minutes
58%(26.1%/43.7%) 0.60x(-5.9%/-8.3%) 0.71x543.1
NVDA β€’ 10 Minutes
57%(5.0%/32.9%) 0.15x(-33.4%/-42.8%) 0.78x441.4
SPY β€’ 10 Minutes
60%(6.6%/14.3%) 0.46x(-13.4%/-20.7%) 0.65x411.9
TSLA β€’ 10 Minutes
47%(18.4%/59.0%) 0.31x(-34.8%/-55.3%) 0.63x411.9
WMT β€’ 10 Minutes
60%(37.4%/40.1%) 0.93x(-10.3%/-23.8%) 0.43x621.8
BTCUSDT β€’ 1 Hour
56%(36.4%/68.2%) 0.53x(-31.3%/-30.6%) 1.02x432.2
EURUSD β€’ 1 Hour
50%(6.9%/6.8%) 1.01x(-5.7%/-9.0%) 0.63x422.4
GLD β€’ 1 Hour
60%(35.8%/117.6%) 0.30x(-26.6%/-22.2%) 1.20x363.0
NVDA β€’ 1 Hour
61%(783.4%/3126.3%) 0.25x(-51.4%/-68.0%) 0.76x523.5
SPY β€’ 1 Hour
64%(85.7%/106.7%) 0.80x(-19.0%/-35.1%) 0.54x612.3
TSLA β€’ 1 Hour
55%(2930.2%/1395.5%) 2.10x(-38.7%/-75.1%) 0.52x566.0
WMT β€’ 1 Hour
60%(33.6%/138.2%) 0.24x(-28.4%/-26.9%) 1.06x501.6
BTCUSDT β€’ Daily
59%(638.7%/1337.5%) 0.48x(-61.1%/-76.6%) 0.80x837.3
EURUSD β€’ Daily
35%(4.8%/10.8%) 0.44x(-12.2%/-23.3%) 0.52x710.7
GLD β€’ Daily
61%(242.9%/595.1%) 0.41x(-36.4%/-45.3%) 0.80x466.4
NVDA β€’ Daily
65%(83183.3%/373678.5%) 0.22x(-57.1%/-90.0%) 0.63x7716.0
SPY β€’ Daily
72%(1127.3%/1316.3%) 0.86x(-32.5%/-56.7%) 0.57x873.8
TSLA β€’ Daily
57%(3139.0%/24185.2%) 0.13x(-65.4%/-75.0%) 0.87x3825.3
WMT β€’ Daily
64%(1143.9%/13022.2%) 0.09x(-57.1%/-50.6%) 1.13x398.1